Authors: Ms. Samyadevi V Assistant Professor, GuruPrakash VM, Nishbha R, Raagul R
Abstract: A voice-controlled robot is developed to perform accurate and reliable movements in response to spoken commands. The system combines a machine learning-based speech recognition module with an advanced motor control algorithm to enable natural human-robot interaction. The speech module converts voice to text, accurately interpreting commands even in noisy environments and across various accents. Recognized commands are processed and translated into actions, which are executed through a motor control system using pulse-width modulation (PWM) and directional control to manage motor speed and direction. This ensures smooth, synchronized movements, adapting to load changes without delays or jerks. Challenges like background noise and command errors are minimized through noise filtering, adaptive models, and an optimized processing pipeline. The system’s performance—measured by response time, accuracy, and movement reliability—confirms fast and precise execution, showcasing the robot’s effectiveness in real-world scenarios.
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